code: def set_pytorch_seed(seed):
      if seed is not None and isinstance(seed, int):
          torch.manual_seed(seed)
          numpy.random.seed(seed)
          random.seed(seed)
  
imports: import torch
  import torch.nn
  import warnings
  import random
  import numpy
  from torch.utils.data import TensorDataset, DataLoader
  import numpy
  import multiprocessing
  import warnings
  import math
label_desc: Use image node_id 3 for calling a global function with example usage: set_pytorch_seed(seed) without return types